Title | ||
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Reverberation robust two-microphone Target Signal Detection algorithm with coherent interference |
Abstract | ||
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In this paper, a reverberation robust Target Signal Detection (TSD) algorithm using two microphones is proposed. Most of traditional TSD algorithms are based on the assumption of free sound field and close-talking scene incorporate with multichannel system. They lack in achieving robustness in reverberant and noisy environment. The proposed TSD algorithm is based on Beam-to-Reference Ratio (BRR), and a novel estimator, Direct-to-Reverberate Ratio (DRR), is introduced to enlarge the basic assumption to reverberant and distant-talking scene. Spatial correlation information between microphones is used to estimate the DRR to revise threshold on each Time-Frequency (T-F) block and to form full-band likelihood using soft-decision information. Experimental results show that the proposed method performs robust in different reverberant environments with coherent interferences when target signal is from priori known direction-of-arrivals (DOA) in distant-talking scene. |
Year | DOI | Venue |
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2014 | 10.1109/ChinaSIP.2014.6889239 | ChinaSIP |
Keywords | Field | DocType |
Target Signal Detection, Reverberation Robust, Speech Enhancement, Direct-to-Reverberate Ratio | Reverberation,Spatial correlation,Detection theory,Computer science,Sound field,Algorithm,Speech recognition,Robustness (computer science),Interference (wave propagation),Microphone,Estimator | Conference |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiaofei Wang | 1 | 13 | 4.99 |
Yanmeng Guo | 2 | 9 | 2.59 |
Qiang Fu | 3 | 791 | 81.92 |
Yonghong Yan | 4 | 0 | 0.34 |